Your data access requirements conflict with security protocols, creating significant challenges. The following steps can help manage the conflict between data access requirements and security protocols... ?? Implement a modern data platform: Use a data platform with deeply integrated security and access control to ensure data protection while maintaining access. ?? Standards compliance: Ensure your data platform adheres to standards such as HIPAA and PCI-DSS to maintain compliance and trust. ?? Involve stakeholders: Involve stakeholders in establishing access policies and protocols to ensure alignment and support across the organization.

when you are working on a multi tenant solution then you face such access control challenge at the most. Solution are different levels. You can have a seperate infra but it would be costly. You can have software level data seperation thru RBAC or code level logic to separate the data, but chances of vulnerability increases. You can use API gateway with istio to manage access to your data too. End of the day it's a compromise between cost and security level you are looking for

The core principal to follow is deny data access by default for everyone and allow access on necessity! - providing access on only required data such as attributes, rows, etc - Make different roles for different needs - Use latest feature to encrypt the data This simple practise can help a lot on securing data.

Conflicts around access to data has been something I have been constantly faced with. The reluctance being around concerns regarding security and data leakage. To prevent this, here are some systems I have put in place: 1. Implementing RBAC ( role-based access control) - This helps you secure your data by providing privileged access. This is very important when faced with compliance requirements too 2. In data warehouses - use of data marts can also help reduce this conflict by sharing only the data that should be accessible by certain users and obfuscation of other datasets 3. Review accesses from time to time and set policies to ensure this is practised

1. This could occur when there is a security enhancement or updates being implemented. One way to avoid this is to ensure a thorough planning with clear communication of the change being done, impact of it and the risks of not doing it 2. First roll out in non-prod env, perform end to end data testing and ensure sign-off from relevant stakeholders before moving to prod env 3. In case require fall back, raise a risk acceptance with an action plan. work around should be in place to minimize the risks during this period